• DocumentCode
    3539740
  • Title

    Microwave scattering behaviour analysis of typical targets with SAR image

  • Author

    Xiaofang Li ; Li, Kun ; Fengli Zhang ; Shao, Yun ; Qulin Tan

  • Author_Institution
    Civil Eng. & Archit., Beijing Jiaotong Univ., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    As the high resolution radar satellite´s has been successfully launched, its ability of the typical target´s recognition monitor enhances a lot. This article mainly does analysis based on the RADARSAT2 quad-polarimetric data, compared scattering properties of typical target feature with two temporal full polarized data, and used the measured data to drive MIMICS (Michigan Microwave Canopy Scattering model) model and carry on the multi-wave band full polarization backscattering simulation about the farmland and forest. Then we carried on the comparison between X, C band SAR image gain´s actual scattering value and simulation value in order to infer the typical target feature´ scattering properties rule of S band. With anticipation of HJ-1-C satellite soon launched by China and then we can carrry on the comparison with the fact. Along with the full polarized data´s development, the typical target feature´s scattering properties analysis will be more perfect.
  • Keywords
    backscatter; electromagnetic wave scattering; microwave propagation; remote sensing; synthetic aperture radar; vegetation; C band SAR image; HJ-1-C satellite; MIMICS model; Michigan Microwave Canopy Scattering model; RADARSAT2 quadpolarimetric data; X band SAR image; farmland; forest; microwave scattering behaviour; multiwave band full polarization backscattering simulation; synthetic aperture radar; target feature scattering properties; Analytical models; Backscatter; Image analysis; Microwave measurements; Monitoring; Polarization; Radar imaging; Radar scattering; Spaceborne radar; Target recognition; SAR; microwave scattering; typical targets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418196
  • Filename
    5418196